TWM573051U - Catering environment monitoring system - Google Patents

Abstract

The present invention relates to a catering environment monitoring system, comprising at least one environment detecting terminal and a remote monitoring platform, the environment detecting terminal comprising a smoke detecting module, a data storage module, a data analysis module and an operation processing module a smoke detection module is disposed at a location adjacent to the restaurant fume discharge port to detect the air quality of the location and obtain a first source data; the data storage module is configured to store the first source data; and the data analysis module is used The first original data is analyzed to obtain an analysis result and the analysis result is returned to the data storage module for storage; the operation processing module operates the first original data to generate an air information data; the remote monitoring The platform is connected to the computing module by the wireless network to obtain the air information and process the data to generate an environment detection information for providing at least one user to obtain the environment detection information; wherein the remote monitoring platform is based on the The user receives an operation instruction to determine that the first source data is obtained from the data storage module. In this way, the working status of the soot purification facilities and the concentration of soot emissions of each catering enterprise can be monitored in real time, so as to provide multiple users with instant access to the soot emission status of the restaurants through the electronic communication device.

Description

Catering environment monitoring system

The whole creation involves a field of environmental detection technology, in particular, a catering environment monitoring system based on the Internet to instantly detect the air quality in the catering environment and provide users with various environmental detection values.

Since PM2.5 was included in the air quality monitoring and testing standards in 2012, air quality has entered a visual era. Now people almost talk about PM2.5 discoloration, but we don’t know that an important source of PM2.5 is around us. Catering fume. Catering fume exhaust gas and industrial waste gas, motor vehicle exhaust are regarded as the city's three "pollution killers". After expert research, the oil, organic matter and its thermal decomposition or cracking products that are volatilized during food cooking and processing are collectively referred to as soot. The aerosol particles formed by the aerosol particles have the characteristics of fine particle size, strong adhesion, and hydrophobicity. They float in the air for a long time, inhaled into the human body, have certain damage to the respiratory system, and may induce various diseases. Depending on the morphology, a mixture of liquid and solid particulate matter is called an oil mist with a particle size between 0.010 and 10 μm; the gaseous portion is emitted as volatile organic compounds (VOCs). In food fume, more than 300 VOCs can be detected. Food fume is mostly low-level emissions, and it contributes a lot to atmospheric particulate matter such as PM2.5. After the oil mist is discharged, it can directly form PM2.5, and VOCs can also form PM2.5 through chemical reaction in the air.

In recent years, the problem of soot emissions in the catering industry has directly or indirectly become an invisible killer that affects the health of residents. At the same time, it also affects the local environmental quality and environmental landscape of urban areas. Relevant statistics show that complaints about cooking fume pollution in the catering industry have become the second biggest complaint hot spot after some noise in some economically developed areas. According to the draft of the "Administrative Measures on the Control of Air Pollutants in the Catering Industry", the EPA will require a catering industry with a capital of less than 100,000 yuan and a business area of more than 100 square meters. Other facilities, otherwise it will be fined up to 1 million yuan, and the food and beverage vendors have the most cooking fumes, accounting for nearly 40% of the total air pollution; the most common environmental pollution caused by restaurant operators mainly includes air pollution and water. Pollution, while air pollutants are more space-constrained than water pollution, and it is less likely to cause harm to the human body in terms of control.

Therefore, how to improve the above-mentioned problems, the applicants have deliberately tried to solve the shortcomings of the conventional skills through careful experimentation and research, and a perseverance in view of the lack of the prior art.

In view of the problems of the prior art, this creation provides a catering environment monitoring system. The environment detection terminal can instantly monitor the working status of the fume purification facilities and the concentration of soot emissions of each catering enterprise, and the monitoring platform can instantly address the environment. The data processing is provided to the user, so that multiple users can instantly grasp the soot emission status of the restaurant in the restaurant through the electronic communication device.

In order to achieve the purpose of the present invention, the present invention provides a catering environment monitoring system, which includes at least one environment detecting terminal and a remote monitoring platform. The environment detecting terminal includes a smoke detecting module, a data storage module, and a The data analysis module and an arithmetic processing module; the flue gas detecting module is disposed at a position adjacent to the restaurant fume discharge port to detect the air quality of the position and obtain a first original data; the data storage module is connected to the flue gas detection The module stores the first original data; the data analysis module connects the data storage module to analyze the first original data to obtain an analysis result, and returns the analysis result to the data storage module for storage; The processing module is connected to the data storage module and operates on the first original data to generate an air information data. The data storage module, the data analysis module and the computing processing module are disposed in the same or different cloud. In the server, the remote monitoring platform connects the computing processing module in the cloud server with a wireless network to obtain the air information resource. And performing data processing to generate an environment detection information for providing at least one user to obtain the environment detection information; wherein the remote monitoring platform determines to obtain the data storage module according to an operation instruction received from the user The first source material.

In order to achieve another object of the present invention, the present invention provides a catering environment monitoring system including at least one environment detecting terminal and a remote monitoring platform, the environment detecting terminal comprising a plurality of smoke detecting modules and a data storage module a data analysis module and an arithmetic processing module; a plurality of smoke detection modules are individually disposed at a plurality of locations adjacent to the restaurant fume discharge port to detect the air quality of the plurality of locations and obtain a first source data to An Nth source data, N is a positive integer and N≥2; the data storage module is connected to the smoke detection module to store the first source data to the Nth source data; the data analysis module is connected to the data storage module And analyzing the first original data to the Nth original data to obtain an analysis result, and transmitting the analysis result to the data storage module for storage; the operation processing module is connected to the data storage module and the first The original data is calculated by the Nth original data to generate a plurality of air information data, and the data storage module, the data analysis module and the arithmetic processing module are disposed in one phase The same or different cloud server; the remote monitoring platform connects the computing processing module in the cloud server with a wireless network to obtain the air information and process the data to generate an environment detecting information. And the at least one user obtains the environment detection information; wherein the remote monitoring platform determines, according to an operation instruction received from the user, the first source data to be obtained from the data storage module to the Nth source data. At least one.

According to an embodiment of the present invention, the smoke detecting module includes a sensing component, an original data storage component, and a wireless communication component, and the sensing component is disposed at a position adjacent to the restaurant fume discharge port to sense the location. Air quality to generate the first original data, the original data storage component is connected to the sensing component to store the first original data, the wireless communication component is connected to the original data storage component and connected to the data storage module by a wireless network group.

According to an embodiment of the present invention, each of the smoke detecting modules includes a sensing component, an original data storage component, and a wireless communication component, and the sensing component is disposed at a position adjacent to the restaurant fume vent to sense the location. Air quality to generate the first original data to the Nth original data, the original data storage component is coupled to the sensing component to store the first original data to the Nth original data, and the wireless communication component connects the original data The component is stored and connected to the data storage module by a wireless network.

According to an embodiment of the present invention, the flue gas detecting module uploads the first original data to the Nth original data to the data storage module by using a wireless network, and the data storage unit passes the data storage unit. Obtaining an IP address of the wireless network connected thereto to identify the uploaded data as the first original data or the Nth original data.

According to an embodiment of the present invention, the type of the wireless network is WiFi, LORa radio technology, or 4G wireless network (TD-LTE and FDD-LTE).

According to an embodiment of the present invention, the sensing component is expandable and includes at least one environmental sensor, wherein the environmental sensor is a temperature sensor, a humidity sensor, and a PM2.5 sensor. At least one or a combination of the above.

According to an embodiment of the present invention, the remote monitoring platform includes a router, a cloud server that accesses the network through the router, and a workstation, where the workstation is provided with a system management software, and the system management software is used as real-time data management and data. Query and statistics, electronic maps, system settings and management.

According to an embodiment of the present invention, the data analysis module performs analysis including a first predictive analysis, wherein the first predictive analysis analyzes the change between the plurality of first original data at different time points. The air quality at this location is at different points in time to predict future air quality changes at that location.

According to an embodiment of the present invention, the data analysis module performs analysis including a first predictive analysis and a second predictive analysis, wherein the first predictive analysis is based on a plurality of the first original data at different time points a change situation to analyze the air quality at the location at different time points to predict future air quality changes at the location, the second predictive analysis being based on the first source data obtained at the same point in time to the Nth original Data to compare air quality at different locations to predict future changes in air quality at the Nth position.

In the following, in conjunction with the drawings and the preferred embodiment of the present invention, the technical means adopted by the present creation for achieving the intended purpose of creation are further explained. The detailed description and technical content of the present creation are only provided for reference and explanation. Not intended to limit the creation of this creation. In the following description of the present writing, the orientation or positional relationship of the terms "upper", "lower", "top", "bottom", "inside", "outside", etc. is based on the orientation or positional relationship shown in the drawings. The description of the present invention is merely for the convenience of the description of the present invention, and is not intended to limit the scope of the present invention.

Please refer to FIG. 1 , which respectively depicts the catering environment monitoring system of the present invention. The catering environment monitoring system is configured to provide at least one user S to obtain environmental detection information, which includes a plurality of environment detecting terminals 10 and a remote monitoring platform 20 . To form a distributed monitoring system, each of the environment detecting terminals 10 is connected to the remote monitoring platform 20 through a wireless communication network, wherein the monitoring system mainly adopts advanced technologies such as smart sensing, wireless communication, embedded system, and geographic information system. The environment of the fume purification facility of the catering enterprise and the concentration of the exhaust fumes can be monitored in real time, and the environmental detection information is transmitted to the remote monitoring platform 20 through the plurality of environmental detection terminals 10, and each user can pass The application provided by the remote monitoring platform obtains environmental detection information.

The environment detecting terminal 10 includes at least one flue gas detecting module 100, a data storage module 200, a data analyzing module 300, and an arithmetic processing module 400. The flue gas detecting module 100 is disposed at a first position to obtain a first source data about the air quality of the first location, where the first location is a location adjacent to the restaurant fume vent; if there are more than 2 The smoke detecting port 100 is disposed at a second position, a third position, and an Nth position to obtain a second to the second air quality of the second position to the Nth position. N source material. The first to Nth positions and the number of the flue gas detecting modules are determined by the position configuration and the quantity of the soot discharge port; in addition, the first source data may include PM2.5, temperature and the first position. The data of at least one of the humidity, the second to the Nth original data includes information about at least one of PM2.5, temperature and humidity of the second to Nth positions, but not limited thereto It will be understood by those of ordinary skill in the art that the types of materials included in the original materials can be adjusted according to actual needs.

The data storage module 200 is connected to each of the flue gas detecting modules 100 and stores the original data. The data storage module 200 is disposed in a cloud server (not shown) for connection to the data storage. The other modules of the module 200, such as the smoke detecting module 100, the data analyzing module 300, and the computing processing module 400, can upload or retrieve data. In addition, those skilled in the art can understand that each of the flue gas detecting modules 100 is disposed in a different location of the restaurant, and the data storage module 200 is disposed in the cloud server. Each of the smoke detecting module 100 and the data storage module 20 can be connected by wireless communication.

The data analysis module 300 is connected to the data storage module 200 to obtain the original data of the different locations from the data storage module 200, and integrates and analyzes the original data. The data analysis module 300 analyzes each of the original data. After the original data is obtained, the data analysis module 300 can transmit the analysis result to the data storage module 200 for storage. The data analysis module 300 can be disposed in the same manner as the data storage module 30 or Different cloud servers.

According to an embodiment of the present invention, the data analysis module 300 performs analysis, and may include a first predictive analysis or/and a second predictive analysis according to properties, and the two may be mainly based on data volume, data speed, and the like. Performing independent analysis or big data analysis, wherein the first predictive analysis analyzes the air quality of the first location at different time points according to the change between the plurality of first original materials to predict the future The air quality changes (becomes better or worse), and the second predictive analysis compares the air quality of the plurality of locations according to the first original data and the second original data or the Nth original data obtained at the same time point. And by the amount of change of PM2.5 at the first position (for example, becoming larger), it is predicted that the air quality of the second position or the Nth position is about to deteriorate (considering wind direction or diffusion effect, etc.).

The computing processing module 400 is connected to the data storage module 200. The computing processing module 400 obtains at least one of the first to Nth original materials from the data storage module 200, and obtains each of the obtained data. At least one of the first to the Nth original data is calculated to generate an air information, and the air information is provided to the remote monitoring platform 20. The computing processing module 400 can be disposed in the data storage module. The group 200 and the data analysis module 300 are in the same or different cloud servers. It should be noted that if the data analysis module 300 and the arithmetic processing module 400 are installed in a cloud server different from the data storage module 200, the manner of connecting to each other is a method of wireless communication.

According to an embodiment of the present invention, the operation processing module 400 performs an operation process of converting at least one of the obtained first to Nth original materials into an operation process that can be provided to each user S with useful information; Therefore, the data format of the air information material may depend on the electronic communication device used by the user S, such as a mobile phone, a tablet or a personal computer, etc., for example, if the user S uses the electronic communication device as a mobile phone, the computing module 50 can adjust the data format of the air information data so that the air information can be read by the user S on the application on the mobile phone.

According to an embodiment of the present invention, the arithmetic processing module 400 can determine, according to an operation instruction received from the user S, at least one of the first to the Nth original materials obtained from the data storage module 200, For example, if the operation command of the user S is to obtain the data about the air quality of the first location, the operation processing module 400 may obtain the first original data from the data storage module 200, for example, if the user The instruction of the S is to obtain the data about the air quality of the plurality of locations, and the operation processing module 400 can obtain the original materials corresponding to the respective locations from the data storage module 200.

Referring again to FIG. 2, it is a block diagram of the configuration of the smoke detecting module of the present invention. The smoke detecting module 100 can include a sensing component 110, an original data storage component 120, and a wireless communication component 130. The sensing component 110 has scalability and can be at least one environmental sense. The detector is configured to detect the air quality of the first or .N or the Nth position, and the environmental sensor can be at least one of a temperature sensor, a humidity sensor, and a PM2.5 sensor. Or a combination of the above; the user can increase or decrease the number and type of the environmental sensors in the sensing component 110 according to actual needs to obtain temperature, humidity, and/or PM2 about the first ... or N position; .5 information. The original data storage component 120 is coupled to the sensing component 110 to store the first... or Nth original material.

According to an embodiment of the present invention, the original data storage component 120 can be a volatile memory (such as DRAM, SRAM) or a non-volatile memory (such as a ROM, a flash memory), and the original data storage component 120 is After the first... or the Nth original data is generated and before being transmitted to the data storage module 200, the first... or the Nth original data is stored first. The wireless communication component 130 is coupled to the original data storage component 120 and transmits the temperature, humidity, and/or PM2.5 data of the first location or the Nth location through a wireless network, and the type of the wireless network is, for example, It is WiFi, LORa RF technology, or 4G wireless network (TD-LTE and FDD-LTE) and so on.

As described above, the first to the Nth original data can be uploaded to the data storage module 200 installed in the cloud server by using a wireless network. For example, the upload frequency of the first original data storage device 12 can be For every 3 minutes, if the wireless network is selected as a wireless network with sleep mode (for example, LoRa), the wireless communication component 130 can be turned on intermittently, and only turned on a few seconds before each data is uploaded. Wireless communication component 130 to save power.

According to an embodiment of the present invention, the data storage module 200 may be internally provided with an identification device (not shown) for identifying the IP address of the wireless network connected thereto to confirm the correspondent according to the IP address. Why (for example, a flue gas detecting module disposed at the first position or a flue gas detecting module disposed at the Nth position), according to which it is determined that the data being uploaded is the first original material or the Nth original data.

The remote monitoring platform 20 includes a router, a cloud server and a workstation connected to the network through a router, and the workstation has a system management software. The system management software has real-time data management, data query and statistics, electronic map, system setting and management, and the like. Features. The remote monitoring platform 20 mainly stores, analyzes, processes, displays, and the like of the various materials obtained by the environment detecting terminal 10 to generate an environment detecting information. After the environment detecting terminal 10 of each restaurant is operated, various air quality sensing information for discharging soot is collected through the flue gas detecting module 100, and transmitted to the cloud server through the Internet, and the remote monitoring platform 20 can pass through the cloud. The server obtains the above information, and any user logs in through the application account and obtains the environment detection information after the data processing of the remote monitoring platform 20 by operation, so as to know whether the fume emission of the restaurant is normal or not, so as to achieve supervision The purpose of restaurant fume emissions.

In summary, the catering environment monitoring system of the present invention stores the first original data and the second original data in the cloud by using the data storage unit; in addition, the data analysis unit performs data analysis; The operating unit generates the air information and uploads it to the monitoring platform to provide instant air quality information to the user; the technical means has the following advantages:

1. Instantly monitor the operation status of the fume purification facilities of the catering enterprises and the concentration of the exhaust fumes, enrich the environmental monitoring means, and better solve the problem of the pollution of the catering industry in the urban environment.

2. Each module configuration of the environment detection terminal has the characteristics of low power consumption, low cost, high performance, and strong scalability;

3. The environmental testing terminal can immediately monitor the working status of the fume purification facilities and the concentration of soot emissions of each catering enterprise;

4. The workstation is equipped with system management software, which analyzes, processes and displays various data collected and uploaded to the server in real time, and has functions such as instant data management, data query and statistics, electronic map, system setting and management.

However, the specific embodiments described above are only used to illustrate the features and functions of the present invention, and are not intended to limit the scope of implementation of the present invention, without departing from the spirit and technical scope of the creation. The equivalent changes and modifications made by the present disclosure are still covered by the scope of the patent application described below.

10‧‧‧Environmental testing terminal

100‧‧‧Fume detection module

110‧‧‧Sensor components

120‧‧‧ Raw material storage components

130‧‧‧Wireless communication components

200‧‧‧ Data Storage Module

300‧‧‧Data Analysis Module

400‧‧‧Operation Processing Module

20‧‧‧ Remote Monitoring Platform

S‧‧‧ users

Figure 1 is a schematic diagram showing the architecture of the catering environment monitoring system of the present creation. Fig. 2 is a block diagram showing the configuration of the smoke detecting module of the present invention.

Claims (10)

A catering environment monitoring system, comprising: at least one environmental detecting terminal, comprising: a flue gas detecting module disposed at a position adjacent to a restaurant fume vent to detect the air quality of the position and obtain a first original data; a data storage module connected to the flue gas detecting module to store the first original data; a data analysis module connected to the data storage module to analyze the first original data to obtain an analysis result, and the analysis result Returning to the data storage module for storage; an arithmetic processing module, connecting the data storage module and calculating the first original data to generate an air information, the data storage module, the data analysis module and The computing processing module is disposed in a same or different cloud server; and a remote monitoring platform is connected to the computing processing module in the cloud server by a wireless network to obtain the air information and The data processing generates an environmental detection information for providing at least one user to obtain the environmental detection information; wherein the remote monitoring According to an internet operation instruction received from the user, it is determined from the first data storage module to obtain the original data. A catering environment monitoring system, comprising: at least one environment detecting terminal, comprising: a plurality of flue gas detecting modules, which are respectively disposed at a plurality of positions adjacent to a restaurant fume vent to detect air quality of the plurality of positions and obtain one The first source data is an Nth source data, N is a positive integer and N≥2; a data storage module is connected to the smoke detection modules to store the first source data to the Nth source data; The analysis module is connected to the data storage module to analyze the first original data to the Nth original data to obtain an analysis result, and return the analysis result to the data storage module for storage; Connecting the data storage module and calculating the first original data to the Nth original data to generate a plurality of air information materials, wherein the data storage module, the data analysis module and the arithmetic processing module are disposed in the same Or a different cloud server; and a remote monitoring platform, connecting the computing processing module in the cloud server with a wireless network to obtain the space The information is processed and processed to generate an environmental detection information, and is used to provide at least one user to obtain the environmental detection information; wherein the remote monitoring platform determines the data storage mode according to an operation instruction received from the user. The group obtains at least one of the first source material and the Nth source material. The catering environment monitoring system of claim 1, wherein the smoke detecting module comprises a sensing component, a raw data storage component, and a wireless communication component, the sensing component is disposed at a position adjacent to the restaurant fume vent Sensing the air quality of the location to generate the first source material, the source data storage component is coupled to the sensing component to store the first source material, the wireless communication component is coupled to the original data storage component and coupled to a wireless network Connect the data storage module. The catering environment monitoring system of claim 2, wherein each of the smoke detecting modules comprises a sensing component, a raw data storage component, and a wireless communication component, the sensing component being disposed adjacent to the restaurant fume vent Sensing the air quality of the location to generate the first original data to the Nth original data, the original data storage component connecting the sensing component to store the first original data to the Nth original data, the wireless communication The component is connected to the original data storage component and connected to the data storage module by a wireless network. The catering environment monitoring system of claim 2, wherein the flue gas detecting module uploads the first original data to the Nth original data to the data storage module via a wireless network, and the data storage unit obtains The IP address of the wireless network to which it is connected, to identify the uploaded data as the first original data or the Nth original data. The catering environment monitoring system as recited in claim 5, wherein the type of the wireless network is WiFi, LORa radio technology, or 4G wireless network (TD-LTE and FDD-LTE). The catering environment monitoring system of claim 3 or 4, wherein the sensing component is expandable and includes at least one environmental sensor, the temperature sensor, the humidity sensor, and the PM2 A combination of at least one or more of the .5 sensors. The catering environment monitoring system as claimed in claim 1 or 2, wherein the remote monitoring platform comprises a router, a cloud server and a workstation connected to the network through the router, and the workstation is provided with a system management software, and the system management software is used. For real-time data management, data query and statistics, electronic maps, system settings and management. The catering environment monitoring system of claim 1, wherein the data analysis module performs analysis comprises a first predictive analysis, wherein the first predictive analysis is based on a plurality of the first original data at different time points. The situation is changed to analyze the air quality at that location at different points in time to predict future air quality changes at that location. The catering environment monitoring system of claim 2, wherein the data analysis module performs analysis comprising a first predictive analysis and a second predictive analysis, wherein the first predictive analysis is based on a plurality of the first original data. The change of air quality at the different time points is used to analyze the air quality at the different time points to predict the future air quality change of the position. The second predictive analysis is based on the first original data obtained at the same time point. The Nth source data is compared to compare air quality at different locations to predict future changes in air quality at the Nth position.